2 citations · 3 across the 4 of their papers we have counts for
5 papers · 1 filter
Self-Admitted Technical Debt in Scientific Software: Prioritization, Sentiment, and Propagation Across Artifacts
Eric L. Melin, Nasir U. Eisty, Gregory R. Watson +1
Self-admitted technical debt (SATD) impairs scientific software (SSW), yet its prioritization, sentiment, persistence, and propagation remains underexplored. Understanding how SSW…
Multi-Artifact Analysis of Self-Admitted Technical Debt in Scientific Software
Eric L. Melin, Nasir U. Eisty, Gregory Watson +1
Context: Self-admitted technical debt (SATD) occurs when developers acknowledge shortcuts in code. In scientific software (SSW), such debt poses unique risks to the validity and re…
Exploring Scientific Debt: Harnessing AI for SATD Identification in Scientific Software
Eric L. Melin, Ahmed Musa Awon, Nasir U. Eisty +2
Developers often leave behind clues in their code, admitting where it falls short, known as Self-Admitted Technical Debt (SATD). In the world of Scientific Software (SSW), where in…
Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models
Eric L. Melin, Adam J. Torek, Nasir U. Eisty +1
Context: Large Language Models (LLMs) like GPT-5 and LLaMA-405b exhibit advanced code generation abilities, but their deployment demands substantial computation resources and energ…
Exploring the Advances in Using Machine Learning to Identify Technical Debt and Self-Admitted Technical Debt
Eric L. Melin, Nasir U. Eisty
In software engineering, technical debt, signifying the compromise between short-term expediency and long-term maintainability, is being addressed by researchers through various ma…